Hierarchical Quantum Error Correction with Hypergraph Product Code and Rotated Surface Code
- URL: http://arxiv.org/abs/2505.18592v2
- Date: Tue, 24 Jun 2025 23:57:38 GMT
- Title: Hierarchical Quantum Error Correction with Hypergraph Product Code and Rotated Surface Code
- Authors: Junichi Haruna, Keisuke Fujii,
- Abstract summary: We propose and analyze a hierarchical quantum error correction (QEC) scheme that encodes hypergraph product (HGP) codes with rotated surface codes.<n>The upper layer employs (3,4)-random HGP codes, known for their constant error rate.<n>The lower layer consists of a rotated surface code with distance 5, allowing hardware compatibility through lattice surgery.
- Score: 0.9002260638342727
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We propose and analyze a hierarchical quantum error correction (QEC) scheme that concatenates hypergraph product (HGP) codes with rotated surface codes, which is compatible with quantum computers with only nearest-neighbor interactions. The upper layer employs (3,4)-random HGP codes, known for their constant encoding rate and favorable distance scaling, while the lower layer consists of a rotated surface code with distance 5, allowing hardware compatibility through lattice surgery. To address the decoding bottleneck, we utilize a soft-decision decoding strategy that combines belief propagation with ordered statistics (BP-OS) decoding, enhanced by a syndrome-conditioned logical error probability computed via a tailored lookup table for the lower layer. Numerical simulations under a code capacity noise model demonstrate that our hierarchical codes achieve logical error suppression below the threshold. Furthermore, we derive explicit conditions under which the proposed codes surpass surface codes in both qubit efficiency and error rate. In particular, for the size parameter $s \geq 4$ (which corresponds to 16 logical qubits) and the distance $d\geq 25$, our construction outperforms the rotated surface code in practical regimes with physical error rates around or less than $10^{-2}$. These results suggest that concatenated qLDPC-surface architectures offer a scalable and resource-efficient path toward near-term fault-tolerant quantum computation.
Related papers
- Directional Codes: a new family of quantum LDPC codes on hexagonal- and square-grid connectivity hardware [0.0]
Utility-scale quantum computing requires quantum error correction (QEC) to protect quantum information against noise.<n>Currently, superconducting hardware is a promising candidate for achieving fault tolerance due to its fast gate times and feasible scalability.<n>We construct a new family of qLDPC codes, which outperforms the rotated planar code (RPC)<n>We numerically evaluate the performance of directional codes, encoding four, six and twelve logical qubits.
arXiv Detail & Related papers (2025-07-25T16:57:21Z) - Abelian multi-cycle codes for single-shot error correction [0.027042267806481293]
We construct a family of quantum low-density parity-check codes locally equivalent to higher-dimensional quantum hypergraph-product (QHP) codes.<n>The proposed codes have highly redundant sets of low-weight stabilizer generators, which improves decoding accuracy in a fault-tolerant regime.<n>We derive simple expressions for the dimension of the proposed codes in two important special cases, give bounds on the distances, and explicitly construct some relatively short codes.
arXiv Detail & Related papers (2025-06-20T11:05:32Z) - Demonstrating dynamic surface codes [138.1740645504286]
We experimentally demonstrate three time-dynamic implementations of the surface code.<n>First, we embed the surface code on a hexagonal lattice, reducing the necessary couplings per qubit from four to three.<n>Second, we walk a surface code, swapping the role of data and measure qubits each round, achieving error correction with built-in removal of accumulated non-computational errors.<n>Third, we realize the surface code using iSWAP gates instead of the traditional CNOT, extending the set of viable gates for error correction without additional overhead.
arXiv Detail & Related papers (2024-12-18T21:56:50Z) - Architectures for Heterogeneous Quantum Error Correction Codes [13.488578754808676]
Heterogeneous architectures provide a clear path to universal logical computation.
We propose integrating the surface code and gross code using an ancilla bus for inter-code data movement.
We demonstrate physical qubit reductions of up to 6.42x when executing an algorithm to a specific logical error rate.
arXiv Detail & Related papers (2024-11-05T15:49:02Z) - Lift-Connected Surface Codes [1.4767596539913115]
We use the recently introduced lifted product to construct a family of Quantum Low Density Parity Check Codes (QLDPC codes)
The codes we obtain can be viewed as stacks of surface codes that are interconnected, leading to the name lift-connected surface (LCS) codes.
For example, already at moderate numbers of physical qubits in the order of tens, LCS codes of equal size have lower logical error rate or similarly, require fewer qubits for a fixed target logical error rate.
arXiv Detail & Related papers (2024-01-05T17:22:49Z) - Testing the Accuracy of Surface Code Decoders [55.616364225463066]
Large-scale, fault-tolerant quantum computations will be enabled by quantum error-correcting codes (QECC)
This work presents the first systematic technique to test the accuracy and effectiveness of different QECC decoding schemes.
arXiv Detail & Related papers (2023-11-21T10:22:08Z) - Hierarchical memories: Simulating quantum LDPC codes with local gates [0.016385815610837167]
We construct a new family of $[[N,K,D]]$ codes, that encode a number of logical qubits $K = Omega(N/log(N)2)$.<n>The N-th element of this code family is obtained by concatenating a constant-rate quantum LDPC code with a surface code.<n>Under conservative assumptions, we find that the hierarchical code outperforms the basic encoding where all logical qubits are encoded in the surface code.
arXiv Detail & Related papers (2023-03-08T18:48:12Z) - Deep Quantum Error Correction [73.54643419792453]
Quantum error correction codes (QECC) are a key component for realizing the potential of quantum computing.
In this work, we efficiently train novel emphend-to-end deep quantum error decoders.
The proposed method demonstrates the power of neural decoders for QECC by achieving state-of-the-art accuracy.
arXiv Detail & Related papers (2023-01-27T08:16:26Z) - Neural Belief Propagation Decoding of Quantum LDPC Codes Using
Overcomplete Check Matrices [60.02503434201552]
We propose to decode QLDPC codes based on a check matrix with redundant rows, generated from linear combinations of the rows in the original check matrix.
This approach yields a significant improvement in decoding performance with the additional advantage of very low decoding latency.
arXiv Detail & Related papers (2022-12-20T13:41:27Z) - Quantum computation on a 19-qubit wide 2d nearest neighbour qubit array [59.24209911146749]
This paper explores the relationship between the width of a qubit lattice constrained in one dimension and physical thresholds.
We engineer an error bias at the lowest level of encoding using the surface code.
We then address this bias at a higher level of encoding using a lattice-surgery surface code bus.
arXiv Detail & Related papers (2022-12-03T06:16:07Z) - Improved decoding of circuit noise and fragile boundaries of tailored
surface codes [61.411482146110984]
We introduce decoders that are both fast and accurate, and can be used with a wide class of quantum error correction codes.
Our decoders, named belief-matching and belief-find, exploit all noise information and thereby unlock higher accuracy demonstrations of QEC.
We find that the decoders led to a much higher threshold and lower qubit overhead in the tailored surface code with respect to the standard, square surface code.
arXiv Detail & Related papers (2022-03-09T18:48:54Z) - Decoding Across the Quantum LDPC Code Landscape [4.358626952482686]
We show that belief propagation combined with ordered statistics post-processing is a general decoder for quantum low density parity check codes.
We run numerical simulations of the decoder applied to three families of hypergraph product code: topological codes, fixed-rate random codes and a new class of codes that we call semi-topological codes.
arXiv Detail & Related papers (2020-05-14T14:33:08Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.